• 제목/요약/키워드: Genom

검색결과 7건 처리시간 0.028초

A Study on the Significances of the Hairstyles of the Hippy Fashion

  • Lee, Joung-Ho
    • 한국복식학회:학술대회논문집
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    • 한국복식학회 2003년도 International Costume Conference
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    • pp.80-80
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    • 2003
  • The velocity of change of the world in its speed and scale are very rapid. The new terms like "nano" and "genom map" and etc are continuously generated. The current main themes are focused on the society in change, the information-oriented society. To do it, it is very interesting to consider to view the diverseness of cultures in the western society. Especially this study reconsindered the historical background of the hippy's hairstyles and their influence on the current hairstyles. current hairstyles.

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Identification of markers associated with estimated breeding value and horn colour in Hungarian Grey cattle

  • Zsolnai, Attila;Kovacs, Andras;Kaltenecker, Endre;Anton, Istvan
    • Animal Bioscience
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    • 제34권4호
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    • pp.482-488
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    • 2021
  • Objective: This study was conducted to estimate effect of single nucleotide polymorphisms (SNP) on the estimated breeding value of Hungarian Grey (HG) bulls and to find markers associated with horn colour. Methods: Genotypes 136 HG animals were determined on Geneseek high-density Bovine SNP 150K BeadChip. A multi-locus mixed-model was applied for statistical analyses. Results: Six SNPs were identified to be associated (-log10P>10) with green and white horn. These loci are located on chromosome 1, 3, 9, 18, and 25. Seven loci (on chromosome 1, 3, 6, 9, 10, 28) showed considerable association (-log10P>10) with the estimated breeding value. Conclusion: Analysis provides markers for further research of horn colour and supplies markers to achieve more effective selection work regarding estimated breeding value of HG.

유전자 및 물질의 젤 영상 분석에 관한 연구 (A Study on the Analysis of Gel Images of Genes and Molecules)

  • 김영원;전병환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(3)
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    • pp.33-36
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    • 2001
  • With all the researches to define human genom and to look for some new bio-activated material in the bio-technology field recently, it is more highly needed to analyse DNA or so called Material than ever before. First, the lanes are extracted based on histogram analysis and projection technique. And then three other approaches are applied for band extraction: SB, RG-1, and RG-2. In SB method, a search line is set dividing each lane equally and vertically to find peaks and valleys. And according to them, minimum enclosing rectangle of each band is determined. In RC-1 approach, on the other hand, band areas are extracted by region growing with the peaks as seeds, avoiding the overlap with the neighboring bands. In RC-2 approach, peaks and valleys are searched in two lines that trisect the lane vertically, and the pair of peaks in the same band are determined, and then used to grow the region. To compare the accuracy of the three suggested methods, we measure the location and amount of bands. The result shows that the mean deviation of the location is 0.06, 0.03, and 0.01 for SB, RG-1, and RC-2 respectively. And the mean deviation of the amount of bands is 0.08, 0.05, and 0.02 for SB, RG-1, and RG-2 respectively. In conclusion, the RG-2 method suggested in this paper appears to be the most reliable on the degree of the accuracy in measuring the location and amount of bands

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Transfer Learning Models for Enhanced Prediction of Cracked Tires

  • Candra Zonyfar;Taek Lee;Jung-Been Lee;Jeong-Dong Kim
    • Journal of Platform Technology
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    • 제11권6호
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    • pp.13-20
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    • 2023
  • Regularly inspecting vehicle tires' condition is imperative for driving safety and comfort. Poorly maintained tires can pose fatal risks, leading to accidents. Unfortunately, manual tire visual inspections are often considered no less laborious than employing an automatic tire inspection system. Nevertheless, an automated tire inspection method can significantly enhance driver compliance and awareness, encouraging routine checks. Therefore, there is an urgency for automated tire inspection solutions. Here, we focus on developing a deep learning (DL) model to predict cracked tires. The main idea of this study is to demonstrate the comparative analysis of DenseNet121, VGG-19 and EfficientNet Convolution Neural Network-based (CNN) Transfer Learning (TL) and suggest which model is more recommended for cracked tire classification tasks. To measure the model's effectiveness, we experimented using a publicly accessible dataset of 1028 images categorized into two classes. Our experimental results obtain good performance in terms of accuracy, with 0.9515. This shows that the model is reliable even though it works on a dataset of tire images which are characterized by homogeneous color intensity.

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바이오 데이터 패턴 분석을 위한 시스템 및 알고리즘 설계 (Design of the System and Algorithm for the Pattern Analysis of the Bio-Data)

  • 송영옥;김성영;장덕진
    • 한국콘텐츠학회논문지
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    • 제10권8호
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    • pp.104-110
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    • 2010
  • 생명과학 분야에서 컴퓨터를 활용할 수 있는 대표적인 예로는 서열화, 서열화 분석, 비교, 진화, 돌연변이 추적, 약 설계를 위한 유사성 비교, 단백질 기능 예측, 그리고 세포 메커니즘과 질병 발생에서의 유전자 역할 예측 등 다양한 분야를 들 수 있다. 생명공학 연구자들에게는 이와 같은 작업을 위한 도구들이 요구되고 있다. 본 논문에서는 바이오 데이터 분석을 위한 기존 시스템의 문제점을 파악하고, 이를 개선할 수 있는 시스템 설계에 초점을 맞추었다. 또한 각각의 분석 작업을 개선할 수 있고 서로 독립적으로 진행되는 기존의 시스템을 통합할 수 있는 통합 분석 시스템을 설계하고자 한다.

GA를 적용한 모의 UAV의 자율착륙 테스트베드 구축 (Generating an Autonomous Landing Testbed of Simulated UAV applied by GA)

  • 한창희
    • 한국시뮬레이션학회논문지
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    • 제28권1호
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    • pp.93-98
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    • 2019
  • 현대에서 사용되는 무인 비행체의 경우 자율화수준이 떨어져 사용자의 개입이 필요하다는 문제가 있다. 이에 본 연구는 자율화 달성의 방법론으로 유전자 알고리즘을 선택하고, 이것을 적용해 무인 착륙체의 자율화 가능성을 확인해 보는 것이다. 특별히 무인 비행체의 착륙은 비행체에서 매우 중요한 고전적인 과업 중의 하나이며, 착륙에 있어서 역사적 사건 중의 하나가 달착륙이라고 할 수 있다. 달 착륙선의 추동 메카니즘을 장착한 낙하체의 착륙 자율화 방법을 이용해 무인 착륙체의 자율화 가능성을 확인한다. 본 논문에서는 유전자알고리즘 적용시 게놈을 단지 4가지 액션 (좌회전, 우회전, 분출, 자유낙하) 으로 인코딩하여 무인 착륙체에 적용하고, 유전자 알고리즘의 주요 연산을 접목하여 실험을 성공적으로 진행하였으며 센서에 대한 의존도를 최소화할 수 있는 무인 비행체의 모의 UAV를 제작하였고, 유전자알고리즘을 적용해 그 가능성을 확인하는 테스트 베드를 구축하였다.

Population diversity, admixture, and demographic trend of the Sumba Ongole cattle based on genomic data

  • Pita Sudrajad;Hartati Hartati;Bayu Dewantoro Putro Soewandi;Saiful Anwar;Angga Ardhati Rani Hapsari;Tri Satya Mastuti Widi;Sigit Bintara;Dyah Maharani
    • Animal Bioscience
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    • 제37권4호
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    • pp.591-599
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    • 2024
  • Objective: Sumba Ongole (SO) cattle are valuable breed due to their important role in the development of Indonesian cattle. Despite rapid advances in molecular technology, no genomic studies on SO cattle have been conducted to date. The aim of this study is to provide genomic profile related to the population diversity, admixture, and demographic trends of SO cattle. Methods: Genomic information was gathered from 79 SO cattle using the Illumina Bovine SNP50 v3 Beadchip, and for comparative purposes, additional genotypes from 209 cattle populations worldwide were included. The expected and observed heterozygosity, inbreeding coefficient, pairwise fixation indices between-population, and Nei's genetic distance were examined. Multidimensional scaling, admixture, and treemix analyses were used to investigate the population structure. Based on linkage disequilibrium and effective population size calculations, the demographic trend was observed. Results: The findings indicated that the genetic diversity of SO cattle was similar to that of other indicine breeds. SO cattle were genetically related to indicines but not to taurines or Bali cattle. The study further confirmed the close relationship between SO, Ongole, and Nellore cattle. Additionally, a small portion of the Ongole mixture were identified dominant in the SO population at the moment. The study also discovered that SO and Bali cattle (Bos javanicus) could have been ancestors in the development of Ongole Grade cattle, which corresponds to the documented history of Ongolization. Our finding indicate that SO cattle have maintained stability and possess unique traits separate from their ancestors. Conclusion: In conclusion, the genetic diversity of the SO cattle has been conserved as a result of the growing significance of the present demographic trend. Consistent endeavors are necessary to uphold the fitness of the breed.